Volume horaire
- CM :
30 h
- Volume horaire global (hors stage) :
30 h
Description du contenu de l'enseignement
The aim of this workshop is to give the students an idea of research issues at the boarder of Artificial Intelligence and decision theory. During the first half of the workshop, the teachers present different research topics, by giving some the elements allowing to understand the problematics. During the second half, the students present their work on the subject they chose. Subjects vary from year to year, but the following list gives an idea of the usual topics:
- preference modelling
- preference learning
- preference aggregation
- computational social choice: voting, fair division
- algorithmic decision theory
- data mining and machine learning
- distributed decision making
- knowledge representation and reasoning
- algorithms for heuristic search, planning and game playing
Enseignant responsable
ROLAND GRAPPE